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The signature of endemic populations in the spread of mountain pine beetle outbreaks.pdf
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The Signature of Endemic Populations in the Spread of Mountain Pine Beetle Outbreaks

  • Author(s) / Creator(s)
  • The mountain pine beetle (MPB) is among the most destructive eruptive forest pests in
    North America. A recent increase in the frequency and severity of outbreaks, combined
    with an eastward range expansion towards untouched boreal pine forests, has spurred
    a great interest by government, industry and academia into the population ecology of
    this tree-killing bark beetle. Modern approaches to studying the spread of the MPB
    often involve the analysis of large-scale, high-resolution datasets on landscape-level
    damage to pine forests. This creates a need for new modelling tools to handle the
    unique challenges associated with large sample sizes and spatial effects. In two companion papers (Koch et al. in Environ Ecol Stat. https://doi.org/10.1007/s10651-020-
    00456-2, 2020a; J R Soc Interface 17(170):20200434, 2020b), we explain how the
    computational challenges of dispersal and spatial autocorrelation can be addressed
    using separable kernels. In this paper, we use these ideas to capture nonstationary
    patterns in the dispersal flights of MPB. This facilitates a landscape-level inference
    of subtle properties of MPB attack behaviour based on aerial surveys of killed pine.
    Using this model, we estimate the size of the cryptic endemic MPB population, which
    formerly has been measurable only by means of costly and time-intensive ground
    surveys.

  • Date created
    2021-05-01
  • Subjects / Keywords
  • Type of Item
    Article (Draft / Submitted)
  • DOI
    https://doi.org/10.7939/r3-fta9-gc43
  • License
    Attribution-NonCommercial 4.0 International
  • Language
  • Citation for previous publication
    • Koch, D., Lewis, M.A., Lele, S. 2021. The signature of endemic populations in the spread of mountain pine beetle outbreaks. Bulletin of Mathematical Biology 83(6): 1-24. https://doi.org/10.1007/s11538-021-00899-z